How AI can deliver a new era of government access and trust

When a child is born it should be a moment of joy for the family, not administration. But in many countries, life events still trigger a chain of disconnected tasks – forms to complete, offices to visit, documents to retrieve, agencies to notify, time away from work and family.

That model belongs to an older era of government.

In the artificial intelligence (AI) era, the standard should be different. When the right safeguards are in place, the state should be able to respond to life as it happens. A birth should trigger the necessary processes in the background – coordination between entities, digital issuance of documents, delivery of support – without anyone having to submit an application.

For years, governments have measured digital success through access – how many people visited a website, downloaded an app or completed a transaction online. Those scores are no longer enough. The next frontier is anticipatory government, not digital government. Public services designed to act at the right moment, with the right context, before friction becomes a burden.

AI makes that shift possible, but only if governments do more than layer it onto old processes. The real opportunity is deeper, it involves redesigning the operating model of the state itself.

Around the world – from Estonia's digital identity to Singapore's integrated planning – governments are proving that when data, platforms and institutions align, the state becomes more capable.

But the goal is trust, not just capability. And that’s why the public sector cannot approach AI as a simple race to be first. When public systems fail, the consequences extend beyond inconvenience – rights may be affected, benefits delayed, confidence lost. In government, trust provides the license to govern.

This is why the future of public AI must be built differently from the start.

Abu Dhabi’s TAMM, a unified government platform, combines more than 1,150 services into a single experience and already has more than four million users. More importantly, it has helped reduce the administrative burden for these people. Today, more than 95% of government service requests are handled through AI-enabled channels, saving people an average of nine trips to customer service centres per year.

Those numbers matter. But the real story is what those hours mean in people's lives: less time navigating bureaucracy, more time for family, work and opportunity. Good government is measured by what it gives back.

Abu Dhabi’s Department of Government Enablement is also working toward an AI-native architecture, GovOS, which allows AI agents, data and workflows to coordinate across entities.

The idea is that citizens and residents should not need to understand the internal structure of government to receive good service. They should not have to know which entity owns which process, which database contains which record or which form belongs to which department. That complexity belongs inside government, not outside.

Imagine the birth of a child again. Instead of parents initiating multiple requests, a verified event in the health system can become the single trigger. From there, the relevant steps are orchestrated securely across the necessary authorities. In the AI era, the government does the heavy lifting in the background, while the family focuses on what actually matters.

The excitement around agentic AI is understandable. Systems are becoming more capable of reasoning, coordinating tasks and executing workflows. For government, that opens the door to major leaps in productivity and service quality.

But it also raises the stakes for building trust. In the AI era, governments must work out where autonomy is appropriate, where human judgement must remain central and how accountability is preserved at every step.

Three principles matter here:

AI can support analysis, triage and recommendations. But where rights, health, liberty or material outcomes are involved, public institutions must remain clearly responsible.

Public trust cannot rest on black-box logic alone. Government must be able to ask why a recommendation was made, what data shaped it and how a result can be challenged or corrected.

This means stronger data governance, bias testing, escalation protocols, cyber resilience and clear operating boundaries for where autonomous action is permitted.

The most important AI competition among governments will not be about who launches the most pilots. It will be about who can combine speed with legitimacy, innovation with accountability and ambition with institutional maturity.

When public institutions set a clear direction, transformation can happen quickly, but speed alone is not a strategy. The real task is to turn experimentation into durable public architecture.

In the AI era, governments can’t simply digitize yesterday’s bureaucracy, they must redesign the state around life events, building trust and intelligent coordination. They must measure success not by how many transactions people complete, but by how little effort people expend. They must understand that the purpose of technology in government is to make society feel more enabled.

Ultimately, the best government, will not be the one people see most, it will be the one that works so well, so responsibly and so quietly that people are free to focus on living their lives.